roboyo
Visit websiteSenior Intelligent Automation Engineer
Salary not disclosed8+ yearsOnsite
- Engineering
- Berlin
- Full time
- Today
About the role
Roboyo AI is seeking a Senior Intelligent Automation Engineer to lead the transition of AI experiments into governed, production-grade systems. You will build and lead an engineering team, acting as the final technical decision-maker while remaining hands-on with architecture and code. The role focuses on establishing an engineering discipline for agentic automation and ensuring solutions are dependable and fit for regulated clients.
Responsibilities
- Own the AI delivery operating model and the path from prototype to production, from intake, qualification, build, hardening to rollout across accelerators and client-facing IP.
- Build and lead the AI engineering team: hire the two engineers, set the standards, review the code, unblock, grow – and work with SMEs across practices to design, build, deploy and maintain the apps.
- Personally build, ship, harden agentic solutions, and own the assets you oversee.
- Own architecture and production standards for all solutions: solution architecture, infrastructure, model selection, validation.
- Turn governance into engineering: policy-as-code, guardrails, eval and release gates that run in the pipeline, controls our regulated clients would recognise, without slowing the build.
- Embed AI capability across our practices: partner with automation, application engineering and consulting SMEs so their prototypes have a path to production.
Required skills
- UiPath
- Software Engineering
- System Architecture
- DevOps
- Production Systems
- Agentic Automation
- Policy-as-code
Qualifications
- 8+ years in Engineering roles (software engineer, architect, platform or engineering lead)
- Proven track record of owning and defining a production system
- Player-coach track record with experience leading engineers while shipping production code
About the Company
Roboyo AI is a category shaper in Applied AI and Agentic Automation. They help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.